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Local and Global Gating of Synaptic Plasticity

Institute of Neuroinformatics, ETH/University Zürich, 8057 Zürich, Switzerland, and Grupo de Neurocomputación Biológica, ETS de Informática, Universidad Autónoma de Madrid, 28049 Madrid, Spain

Paul F. M. J. Verschure

Institute of Neuroinformatics, ETH/University Zürich, 8057 Zürich, Switzerland

Peter König

Institute of Neuroinformatics, ETH/University Zürich, 8057 Zürich, Switzerland

Mechanisms influencing learning in neural networks are usually investigated on either a local or a global scale. The former relates to synaptic processes, the latter to unspecific modulatory systems. Here we study the interaction of a local learning rule that evaluates coincidences of pre- and postsynaptic action potentials and a global modulatory mechanism, such as the action of the basal forebrain onto cortical neurons. The simulations demonstrate that the interaction of these mechanisms leads to a learning rule supporting fast learning rates, stability, and flexibility. Furthermore, the simulations generate two experimentally testable predictions on the dependence of backpropagating action potential on basal forebrain activity and the relative timing of the activity of inhibitory and excitatory neurons in the neocortex.

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